Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min-Max Neural Network for Cervical Cancer Diagnosis.

Medical image analysis and classification is an important application of computer vision wherein disease prediction based on an input image is provided to assist healthcare professionals. There are many deep learning architectures that accept the different medical image modalities and provide the decisions about the diagnosis of various cancers, including breast cancer, cervical cancer, etc. The Pap-smear test is the commonly used diagnostic procedure for early identification of cervical cancer, but it has a high rate of false-positive results due to human error.

A systematic review on machine learning models for online learning and examination systems.

Examinations or assessments play a vital role in every student's life; they determine their future and career paths. The COVID pandemic has left adverse impacts in all areas, including the academic field. The regularized classroom learning and face-to-face real-time examinations were not feasible to avoid widespread infection and ensure safety.

A systematic literature review on spam content detection and classification.

The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, ., Facebook, Twitter, YouTube, and E-mail.

New solutions to reduce greenhouse gas emissions through energy efficiency of buildings of special importance - Hospitals.

Saving energy has an important role in the concerted actions to protect the planet from the effects of global warming, particularly the energy consumed by the existing buildings (with various energy consuming functions, inefficient energy), by implementing environmentally friendly solutions. The present paper emphasizes the need to include elements to stimulate the renovation of the existing buildings and of their energy efficiency in the national strategies, these constructions being important energy consumers. The research started with two case studies (2 hospital buildings) dating from 70-80s, with the aim to be energy efficient and modern constructions in Eastern Europe.